A vehicle-network interaction supply and demand coordination mode deduction method

Abstract

This invention relates to the field of electric vehicle charging and discharging technology, and more particularly to a method, system, and computer-readable storage medium for extrapolating a vehicle-to-grid (V2G) interaction supply-demand coordination model. The method first collects data and determines model input parameters based on local policies, electricity pricing mechanisms, and technological development trends. Then, it constructs a user utility function, eliminates differences in indicator dimensions through normalization, and calculates the probability of user selection for each charging mode, thus constructing a demand-side mode selection model. Based on user selection probabilities and facility operation indicators, it establishes a model for calculating facility expansion scale, and uses a dual-objective optimization framework to balance maximizing user satisfaction with minimizing investment costs to determine the annual number of new facilities. The number of new facilities is fed back to the user model to update facility accessibility parameters until the supply and demand status meets preset convergence conditions. This invention significantly improves the scientific nature and prediction accuracy of V2G interaction planning through dynamic closed-loop modeling of supply and demand coordination and a dual-objective optimization strategy.

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